获取历史任务数据

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        "prompt": [
            0,
            "8278b4e6-656a-4dbd-8ec9-4a0784babac7",
            {
                "3": {
                    "inputs": {
                        "seed": 156680208700286,
                        "steps": 20,
                        "cfg": 8,
                        "sampler_name": "euler",
                        "scheduler": "normal",
                        "denoise": 1,
                        "model": [
                            "4",
                            0
                        ],
                        "positive": [
                            "6",
                            0
                        ],
                        "negative": [
                            "7",
                            0
                        ],
                        "latent_image": [
                            "5",
                            0
                        ]
                    },
                    "class_type": "KSampler",
                    "_meta": {
                        "title": "K采样器"
                    }
                },
                "4": {
                    "inputs": {
                        "ckpt_name": "juggernautXL_v9Rundiffusionphoto2.safetensors"
                    },
                    "class_type": "CheckpointLoaderSimple",
                    "_meta": {
                        "title": "Checkpoint加载器(简易)"
                    }
                },
                "5": {
                    "inputs": {
                        "width": 512,
                        "height": 512,
                        "batch_size": 1
                    },
                    "class_type": "EmptyLatentImage",
                    "_meta": {
                        "title": "空Latent"
                    }
                },
                "6": {
                    "inputs": {
                        "text": "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,",
                        "clip": [
                            "4",
                            1
                        ]
                    },
                    "class_type": "CLIPTextEncode",
                    "_meta": {
                        "title": "CLIP文本编码器"
                    }
                },
                "7": {
                    "inputs": {
                        "text": "text, watermark",
                        "clip": [
                            "4",
                            1
                        ]
                    },
                    "class_type": "CLIPTextEncode",
                    "_meta": {
                        "title": "CLIP文本编码器"
                    }
                },
                "8": {
                    "inputs": {
                        "samples": [
                            "3",
                            0
                        ],
                        "vae": [
                            "4",
                            2
                        ]
                    },
                    "class_type": "VAEDecode",
                    "_meta": {
                        "title": "VAE解码"
                    }
                },
                "9": {
                    "inputs": {
                        "filename_prefix": "ComfyUI",
                        "images": [
                            "8",
                            0
                        ]
                    },
                    "class_type": "SaveImage",
                    "_meta": {
                        "title": "保存图像"
                    }
                }
            },
            {
                "extra_pnginfo": {
                    "workflow": {
                        "last_node_id": 9,
                        "last_link_id": 9,
                        "nodes": [
                            {
                                "id": 7,
                                "type": "CLIPTextEncode",
                                "pos": [
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                                "flags": {},
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                                "mode": 0,
                                "inputs": [
                                    {
                                        "name": "clip",
                                        "type": "CLIP",
                                        "link": 5,
                                        "label": "CLIP"
                                    }
                                ],
                                "outputs": [
                                    {
                                        "name